Air pollution constitutes one of the major problems in urban areas where many sources of airborne pollutants are concentrated. Identifying an appropriate probability model to describe the stochastic behaviour of extreme ambient air pollution level for a specific site or multiple sites forms an integral part of environmental management and pollution control. This paper proposes the use of the three-parameter Burr Type XII distribution to model maximum levels of nitrogen dioxide at a specific site. The study focuses on the daily maximum ambient nitrogen dioxide concentrations for Gaborone Fire Brigade in the winter season, May-July, 2014. The fit of the three-parameter Burr Type XII is compared to that of the three-parameter Dagum and threeparameter log-logistic by using the Kolmogorov-Smirnov and Anderson-Darling criterion for model selection. It is found that the three-parameter Burr Type XII gives the best fit, followed by the log-logistic and the Dagum I, in that order. The results justify the use of the three-parameter Burr Type XII to model ambient air pollution extreme values

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